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Research Article 1

Three years of vegetation development worth 30 years of secondary

2

succession in urban-industrial grassland restoration

3

Running head: Urban-industrial grassland restoration 4

5

Anna Kövendi-Jakó1,2, Melinda Halassy1, Anikó Csecserits1,3, Karl Hülber4,5, Katalin 6

Szitár1,3, Thomas Wrbka4, Katalin Török1 7

1 Institute of Ecology and Botany, MTA Centre for Ecological Research, Alkotmány u. 2-4., 8

Vácrátót, 2163 HU 9

2 Department Plant Taxonomy, Ecology, and Theoretical Biology, Eötvös Loránd University, 10

Budapest, Pázmány Péter stny. 1/c, Budapest, 1117 HU 11

3 GINOP Sustainable Ecosystems Group, MTA Centre for Ecological Research, Klebelsberg 12

Kuno u. 3., Tihany, 8237 HU 13

4 Division of Conservation Biology, Vegetation Ecology and Landscape Ecology, Department 14

of Botany and Biodiversity Research, University of Vienna, Rennweg 14., Vienna, 1030 AT 15

5 Vienna Institute for Nature Conservation & Analyses, Giessergasse 6/7, Vienna, 1090 AT 16

Correspondence:

17

1. Anna Kövendi-Jakó, Institute of Ecology and Botany, MTA Centre for Ecological 18

Research, Alkotmány u. 2-4., Vácrátót, 2163 HU 19

Email: kovendi-jako.anna@okologia.mta.hu 20

Funding:

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The study was funded by the LEGO group and by the National Science Foundation of 22

Hungary (NKFI-OTKA FK127996). AKJ was supported by the ÚNKP-18-3 New National 23

Excellence Program of the Ministry of Human Capacities. ACs was funded by the 24

Hungarian Academy of Sciences (MTA PD-036/2015, PD-019/2016, PD009/2017) and by the 25

GINOP-2.3.2-15-2016-00019 grant. KSz was supported by the GINOP-2.3.2-15-2016-00019 26

grant.

27

Abstract

28

Questions:

29

The restoration of unused urban-industrial areas has largely been neglected despite their great 30

potential for nature conservation purposes. We applied three plant introduction treatments at a 31

highly degraded industrial area to test whether plant material introduced to industrial areas 32

initiate plant assemblages similar to the composition of reference grasslands. We specifically 33

asked (1) Does restoration differ from primary and secondary reference sites in terms of 34

overall species richness and cover three years after plant material introduction? (2) What is 35

the sociability of species of the resulting vegetation at different treatments?

36

Location:

37

Restoration and reference grassland sites with acidic sandy soil in the temperate region of EU, 38

NE Hungary, Nyírség.

39

Methods:

40

As restoration techniques we (i) directly seeded a single dominant species, (ii) applied a 41

commercial seed mixture, and (iii) transferred hay. We compared species composition, cover, 42

species richness and sociability of species of restoration treatments to reference grasslands.

43

Inventories of vascular plant species were made at five randomly placed 2 m x 2 m sampling 44

units per plot.

45

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Results:

46

The species composition of seeded restoration plots (by single dominant species and a 47

commercial seed mixture) became similar to reference grasslands. Both type of seeding 48

resulted in similar cover, whereas seeding of commercial seed mixture and hay transfer 49

resulted in similar species richness to reference grasslands. The cover of natural constituents 50

of seeded plots also reached that of reference grasslands, while hay addition resulted in lower 51

cover and higher number of natural constituents than other methods.

52

Conclusions:

53

The introduction of propagules in degraded industrial areas can provide after three years 54

similar communities to those of secondary reference grasslands of 30 years of age. We 55

conclude that investing in the restoration of native grasslands at unused urban-industrial sites 56

can be a great opportunity to enhance biodiversity.

57

Keywords

58

dry grassland, industrial area, hay transfer, multiple reference sites, old-fields, seed sowing, 59

species richness, sociability of species, urban-industrial restoration, vegetation cover 60

61

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Introduction

62

In recent decades semi-natural grasslands have become strongly reduced in area and diversity 63

due to the intensification of agricultural production (Bond, 2016; Török, Janišová,Kuzemko, 64

Rūsiņa, and Stevanović, 2018b) and human land use, including urban, industrial and 65

infrastructure expansion that is foreseen to accelerate (Maes et al. 2015). To compensate for 66

this loss of natural areas, restoration must be up-scaled and extended from agricultural and 67

semi-natural areas to urban and industrial sites (Aronson & Alexander, 2013; Hostetler, Allen, 68

and Meurk, 2011; Klaus, 2013; Standish, Hobbs, and Miller, 2013). Maes et al. (2015) 69

recommends every increase of artificial land to be compensated by a 2.2-fold increase of 70

green infrastructure to maintain ecosystem services. Thus, any kind of unused land or vacant 71

lot should be considered for extending the network of green infrastructure that beside the 72

enhancement of biodiversity (Standish et al. 2013; Deák, Hüse, & Tóthmérész, 2016; Hüse, 73

Szabó, Deák, & Tóthmérész, 2016; Anderson & Minor 2017) could greatly increase human 74

wellbeing (Tzoulas et al. 2007).

75

Spontaneous secondary succession can be the most cost-effective way of restoration (Prach &

76

Hobbs, 2008; Kiehl, Kirmer, Donath, Rasran, and Hölzel, 2010; Török, Vida, Deák, Lengyel, 77

and Tóthmérész, 2011) but is not appropriate in cases of missing dispersal agents and 78

processes, depletion of soil seed banks and lack of propagule sources (Bakker & Berendse, 79

1999; Hedberg & Kotowski, 2010). In such cases, artificial introduction of seeds is required 80

(Kiehl et al. 2010; Török et al. 2011). Restoration efforts usually apply seeds of indigenous 81

species aiming to restore (historical) native assemblages as far as it is feasible (Shackelford et 82

al. 2013). Several methods of seed introduction can be used to fit the particular restoration 83

need and abiotic environment. Commercial, low diversity seed mixtures (commonly 84

comprising generalist species) efficiently reduce erosion due to the rapid establishment of a 85

dense vegetation cover compared to hay transfer (Török et al. 2011), but the long-term 86

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persistence and ecosystem functioning might be compromised (Kettenring, Mercer, Reinhardt 87

Adams, and Hines, 2014). Collection of local propagules is a viable alternative; however, 88

local seed sourcing is usually difficult in large quantities (Török et al. 2018a) and might lead 89

to poor restoration outcomes due to inbreeding (Broadhurst et al. 2008). The availability of 90

seeds of suitable species in sufficient quantities is a major constraint in restoration (Havens et 91

al. 2015), so the application of a single species can be an option (Piper, Schmidt, and Janzen, 92

2007; Oliveira, Clemente, Nunes, and Correia, 2014). Alternatively, transferring plant 93

material in the form of hay or raked litter can result in higher species richness than seeding 94

(Hedberg & Kotowski, 2010; Kiehl et al. 2010; Török et al. 2011). Since only few papers 95

report on the greening of industrial areas aside from mining sites (Török et al. 2018a), we 96

need further guidance on how to improve the natural state of urban-industrial areas that can 97

contribute to compensate for land degradation.

98

The aim of the present study is to test the success of commercial seed mixtures, seeds of a 99

single dominant species and the transfer of hay in restoring a severely disturbed industrial 100

area. We compare the resulting vegetation three years after restoration interventions to those 101

of primary (semi-natural grasslands) and secondary (old-fields) reference grasslands We 102

tested whether plant material introduced to industrial areas initiate plant assemblages similar 103

to the composition of reference grasslands. We specifically asked (1) Does restoration differ 104

from primary and secondary reference sites in terms of overall species richness and cover 105

three years after plant material introduction? (2) What is the sociability of species of the 106

resulting vegetation at different treatments?

107

Methods

108

Study area 109

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The study area is located in the Nyírség region (East Hungary, Appendix S1). Annual mean 110

precipitation is 550-600 mm and annual average temperature is 9.8 ºC. The historic landscape 111

was characterised by acidic inland sand dunes (with dune height of 5-10 m) covered with 112

sandy grasslands and dry oak steppe forests on dunes and marshlands in depressions (Boros, 113

1929; Soó, 1939; Papp & Dudás, 1989). These natural vegetation types have been mostly 114

transformed to arable lands, orchards, vineyards and tree plantations, resulting in the loss of 115

natural habitats and the expansion of invasive species (e.g. Asclepias syriaca, Robinia 116

pseudo-acacia, Botta-Dukát, 2008).

117

Restoration site 118

The restoration site (9.8 ha) is located around the factory buildings of the LEGO Group at 119

Nyíregyháza, N-E Hungary in the region of Nyírség (lat 47° 57'N; long 21° 39'E). The factory 120

was established at a former orchard and small farmlands, causing the complete loss of 121

vegetation and damage to the original soil surface by flattening the ground. The remaining 122

soil is compacted sand with low humus, calcium, and nutrient content and very low water 123

holding capacity (Appendix S2). No sandy grasslands occur within a three km radius around 124

the factory (Török et al. 2018a).

125

Reference sites 126

The target sandy grasslands have a high natural value and are protected by the Habitat 127

Directive of the European Union (priority habitat code 6260; Romão, 1996). We selected both 128

open (Festuco vaginatae – Corynephoretum Aszód 1935) and closed sandy grasslands 129

(Potentillo arenariae – Festucetum pseudovinae Soó 1940, Pulsatillo hungaricae - 130

Festucetum rupicolae Borhidi 1996). Open sand grasslands develop on low humus content, 131

loose sandy soils at dune tops with a maximum cover of 75% (Bölöni, Botta‐Dukát, Illyés, 132

and Molnár, 2011). Closed sand grasslands develop on humus-rich sandy soils mostly at the 133

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foothills of surrounding mountains or at the lowland. The minimum plant cover is 50 % 134

(Bölöni et al. 2011). The two types have originally formed a mosaic in the landscape, 135

depending on relief, exposure and soil quality. However, both types have very fragmented 136

occurrences in the study area presently. We further refer to grasslands selected at permanent 137

grassland sites as primary reference.

138

Secondary grasslands developed on old-fields by spontaneous succession over more than 30 139

years were used as secondary reference sites (hereafter referred to as secondary reference).

140

These sites created by land abandonment have the potential for the recovery of native 141

temperate grasslands by old-field succession (Cramer, Hobbs, and Standish, 2008). In 142

Central-Eastern Europe, spontaneous succession follows the pathway towards natural 143

vegetation with a rapid development of low diversity, but weedy grasslands in the first ten 144

years (Molnár & Botta-Dukát, 1998, Csecserits & Rédei, 2001; Halassy, 2001; Ruprecht, 145

2006; Csecserits et al. 2011; Albert et al. 2014).

146

Five sites representing the target vegetation were selected as reference for comparison with 147

the restoration site. Primary reference sites representing extensively used, ancient grasslands 148

were selected at three locations (Bátorliget 23 ha, Magy 6.5 ha, Martinka 185 ha). Two of 149

them (Bátorligeti legelő nature conservation area, Martinkai legelő at Hajdúsámson) are in 150

protected areas. The soil of these sites is slightly acidic or neutral sandy soil with low humus, 151

calcium, and nutrient content, and higher nitrogen content (Appendix S2). Secondary 152

reference sites were selected at two locations and included vineyards abandoned in the 1960s 153

(Geszteréd) and in the end of 1980s (Ófehértó). Their soil is slightly acidic adobe sandy with 154

low humus, calcium and nutrient content, and very low water holding capacity (Appendix 155

S2). All reference sites are grazed with sheep or cattle. Both open and closed grasslands were 156

studied at each of the five locations, referred to as primary open (POR), primary closed (PCR) 157

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Restoration treatments 159

Around the factory we have seven restoration plots with different plant material introduction 160

methods according to the availability of species at the time of release from construction 161

(Török et al. 2018a). We present here in detail the results of the plant material introduction of 162

2014 at four restoration plots ranging from 1 to 4.5 ha in size (Fig. 1). Since plots of land 163

became available too late in 2013 for applying the plant material introduction, lucerne 164

(Medicago sativa) and rye (Secale cereale) were seeded (20 kg/ha) to reduce erosion by wind 165

and to avoid a vegetation dominated by weeds and invasive species (mainly ragweed, 166

Ambrosia artemisiifolia). All restoration plots were treated by deep soil loosening, ploughing, 167

and seedbed preparation before applying one of the following restoration treatments: 1) 168

introduction of commercial seeds (abbreviation: COM) of Festuca pseudovina as matrix grass 169

species (30 kg/ha) and 26 native generalist forb species (15 kg/ha) produced in the Hungarian 170

Lowland (Sep 2014). 2) Seeding of Festuca rupicola (60 kg/ha) as a single dominant 171

generalist (abbreviation: DOM) harvested by reaping machine in the Hortobágy National Park 172

(Sep 2014). Mulching by cut autumn biomass was applied on seeded plots (COM, DOM) 173

shortly after seeding to control erosion by wind and for weed suppression (9 - 10 bales/ha). 3) 174

Transfer of dried hay (two plots; abbreviation: HAY) obtained from donor sites within a 60 175

km distance from the factory. Early summer hay with a high content of Festuca spp. seeds 176

(23.5 - 26 bales/ha; one bale weighted about 250 kg) was collected in two sites in Jun and in 177

early Jul 2014, which was manually distributed to cover the whole plots by about 5 cm (Jul 178

2014). Bales from a late harvest (from Aug 2014) containing mainly forb seeds (3.5 - 5 179

bales/ha) were collected from a third site, this hay was distributed on top at a 3 cm thickness 180

(Aug 2014). Seed content of hay and mulch was estimated by germination experiment of hay 181

and mulch samples (data not shown). The restoration plots were mown twice yearly since 182

seeding. For more details on the applied restoration treatments see Table 1.

183

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Data recording and analyses 184

The success of restoration treatments was assessed by comparing the species composition at 185

restoration plots to those of primary and secondary reference sites. Cover (in percentage) of 186

each vascular plant species was visually estimated in five randomly placed sampling units (2 187

m x 2 m) at each restoration plots (yearly), at the three primary reference sites (in June either 188

in 2015 or in 2016), and at the two secondary reference sites (in June 2017). In this paper we 189

use cover data of restoration plots only from June 2017, i.e. three years after applying the 190

restoration treatments, resulting in n=20 restoration and n=50 reference sampling units 191

altogether. Due to uncertainties in the identification of young vegetative plants, Festuca 192

rupicola, F. pseudovina, and F. valesiaca were merged as Festuca spp. for all analyses. Total 193

cover (i.e. sum of individual species´ cover) and species richness (i.e. number of species) 194

were calculated for each of the 70 sampling units. Nomenclature follows Király (2009).

195

We examined the sociability of species in the restoration plots compared to reference 196

grasslands by merging the social behaviour types defined by Borhidi (1995), based on Grime 197

(1979), in three major categories:1) natural constituents (NC - comprising specialists, 198

competitors, generalists and natural pioneers); 2) disturbance tolerant species (DT, as in 199

Borhidi, 1995); and 3) weeds (W - including introduced cultivated plants, ruderal competitors 200

and adventive competitors). The number of species and cover values belonging to each 201

category of sociability per sampling unit was used for analyses. For more details on the 202

categories of studied species see Appendix S3.

203

Composition of sampling units was compared using non-metric multidimensional scaling 204

(NMDS) and Analysis of Similarity (ANOSIM, Clarke, 1993) based on Bray-Curtis 205

dissimilarity and Sørensen index. Number of dimensions (k) was set to two. For data 206

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processing the package “vegan” (Oksanen et al. 2017) of the R 3.3.1 statistical environment 207

(R Core Team, 2016) was applied.

208

We used (generalized) linear mixed effects models (GLMM) implemented in the package 209

“afex” (Singmann, Bolker, Westfall, and Aust, 2018) to compare total cover and species 210

richness among restoration plots (COM, DOM, HAY) and reference sites (PCR, POR, SCR, 211

SOR), used as seven levels of study sites factors in all models. Models were fit to data 212

comprising species richness and total cover of all species of a sampling unit and separately to 213

the three species groups based on sociability types. To consider potential independence of the 214

data of the five sampling units at a site we allowed for a random intercept for each site in each 215

model. For total cover and species richness a Gaussian and Poisson distribution were 216

assumed. For the social behaviour type DT total cover data was transformed by square roots 217

to fulfil the assumptions of normality and homoscedasticity. In case of total cover of the 218

social behaviour type W the model residuals showed heterogeneity of variance for cover data 219

even after square root transformation and, therefore linear mixed-effects (LME) models (Zuur 220

et al. 2009) were applied by using the “nlme” package (Pinheiro et al. 2017) with varIdent 221

variance structure which allowed for different residual spread for each level of the sites 222

variable. For post hoc pairwise comparisons Tukey HSD tests were applied by using 223

“multcomp“ package (Hothorn, Bretz, and Westfall, 2008), with p values adjusted by the 224

method of Benjamini and Hochberg (1995).

225

Results

226

Composition based on multivariate analyses 227

According to the results of NMDS and ANOSIM analysis of cover data, the four reference 228

grassland types proved to have significantly different composition from each other. As for the 229

restoration treatments, the composition of sown restoration plots (COM, DOM) was similar to 230

three reference sites, except for POR (Fig. 2; Table 2). HAY differed significantly from the 231

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seeding treatments (COM, DOM) and from all reference sites. Referring to the species 232

composition all study sites differed significantly from each other (except the two secondary 233

reference grasslands (SCR-SOR) based on the results of NMDS and ANOSIM analysis for 234

presence/absence data (Appendix S4; S5).

235

Total cover and species richness 236

Study sites significantly differed (chisq= 51.33, df= 6, p< 0.001) based on the GLMM 237

analysis of total cover. Tukey tests proved significant differences between closed and open 238

types of reference sites (PCR-POR: z= -4.938, p< 0.001; PCR-SOR: z= -5.654, p< 0.001;

239

SCR-POR: z= 3.554, p= 0.007; SCR-SOR: z= -4.374, p< 0.001, Fig. 3a). Concerning 240

restoration treatments, gradually lower cover from the commercial seeding, dominant species 241

seeding, and hay addition was detected, however, not significant. The total vegetation cover 242

of restoration sampling units was similar to that of reference sites, except for significant 243

differences found between COM and SOR (z= -3.624, p= 0.005) and between HAY and PCR 244

(z = -3.930, p= 0.002). Species richness differed significantly among study sites (chisq=

245

14.777, df= 6, p= 0.022) based on the GLMM analysis. According to Tukey test, all 246

restoration treatments resulted in similar species richness to one another, and to the reference 247

sites, except DOM with the lowest species richness per sampling unit, which was significantly 248

different from both closed reference sites (PCR-DOM: z= -3.139, p= 0.027; SCR-DOM: z=

249

2.951, p= 0.047) (Fig. 3b).

250

Sociability of species 251

According to the results of GLMM the total cover of NC species was significantly different 252

among the study sites (chisq= 44.282, df= 6, p< 0.001). Based on Tukey HSD tests, there was 253

a significant difference between closed and open types of reference sites in case of primary 254

grasslands (PCR-POR: z= -3.780, p= 0.003; PCR-SOR: z= -3.243, p= 0.019). Restoration 255

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treatments resulted in similar cover of NC compared to reference sites, except for HAY that 256

had significantly lower total cover of NC than closed reference sites (HAY-PCR: z= -6.153, 257

p< 0.001; HAY-SCR: z= -4.394, p< 0.001). HAY and COM (z= -3.602, p= 0.006) as well as 258

HAY and DOM (z= -3.038, p= 0.037) resulted in significant difference in total cover of NC 259

(Fig. 4a). Study sites had significant effect on the species richness of NC species (chisq=

260

28.351, df= 6, p< 0.001). Based on Tukey HSD test the reference sites were similar to each 261

other. HAY resulted in a similar species richness to reference sites, whereas COM and DOM 262

resulted in significantly lower number of NC compared to primary open grasslands (COM- 263

POR: z= -3.513, p= 0.008; DOM-POR: z= -4.104, p< 0.001), primary closed (DOM-PCR: z=

264

-3.416, p= 0.01), and secondary closed grasslands (DOM-SCR: z= -3.096, p= 0.029, Fig. 4b).

265

Study sites had significant effect on the cover of DT species (chisq= 23.152, df= 6, p< 0.001) 266

based on GLMM. The reference sites were not significantly different from each other based 267

on cover of DT species according to the Tukey HSD test. Restoration treatments resulted in 268

similar cover of DT compared to reference sites, except for HAY that resulted in significantly 269

higher total cover than open reference sites (POR-HAY: z= 3.653, p= 0.005; SOR-HAY: z=

270

3.746, p= 0.003, Fig. 4c). Study sites had significant effect on the species richness of DT 271

(chisq= 22.327, df= 6, p= 0.001) based on GLMM. According to Tukey HSD test, 272

significantly higher richness of DT was found for PCR, than POR (POR-PCR: z= -4.129, p<

273

0.001). Restoration treatments resulted in similar species richness of DT compared to 274

reference sites, except for HAY that had significantly higher species richness of this group 275

than POR (z= 3.343, p= 0.014, Fig. 4d).

276

Although W species had higher mean total cover in the restored than in the reference 277

grasslands, these differences were not significant based on the LME analyses (chisq= 6.766, 278

df= 6, p= 0.343, Fig. 4e). Concerning species richness of W, the study sites had significant 279

effect (chisq= 28.484, df= 6, p< 0.001). Significant difference of species richness of W was 280

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not detected among reference sites and among restoration sites. HAY and COM addition had 281

significantly higher species richness of W than primary reference sites (COM-PCR: z= 3.861, 282

p= 0.002; COM-POR: z= 3.375, p= 0.013; HAY-PCR: z= 3.975, p= 0.001; HAY-POR: z=

283

3.446 p= 0.01, Fig. 4f).

284

Discussion 285

286

Overall cover and species richness 287

Our study proved the difference in total cover of closed versus open grasslands, both in 288

primary and secondary references. Treated samples have intermediate total cover, while only 289

hay additions resulted in lower cover values than primary closed reference. The seeding of 290

commercial seed mixture allowed for a rapid establishment of the seeded species resulting in 291

the highest vegetation cover (85 %) similar as found by Török et al. (2011). Sowing of the 292

dominant grass species resulted more than 70 % average cover by the third growing season, 293

which is in the range reported by other studies applying low-diversity seed mixtures (Török et 294

al. 2010; Vida et al. 2010). This method is more cost-effective than sowing commercial seed 295

mixtures (Török et al. 2011), but at the expense of having less species rich assemblages. Hay 296

transfer, which is often used to start secondary succession (Rasran, Vogt, and Jensen, 2006;

297

Kiehl, Thormann, and Pfadenhauer, 2006), resulted in a slightly lower species cover.

298

Important factors affecting the restoration success when transferring hay are the species 299

composition of donor sites, the timing of the hay collection and hay storage (Rasran et al.

300

2006; Kiehl et al. 2010; Török et al. 2011). In our study, the application of dry, stored hay can 301

be an explanation for lower plant cover, as dry hay usually contains lower amount of viable 302

seeds than that of fresh plant material without storage (Kiehl et al. 2010).

303

Contradicting several studies, the primary and secondary reference grasslands are very similar 304

in species richness (Molnár & Botta-Dukát, 1998; Prach et al. 2016). The colonization of 305

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specialist species can take hundreds of years based on these studies, so primary reference 306

grasslands should have higher richness. Fragmented cultivation might have led to specialist 307

species survival at field margins (Hackett & Lawrence 2014) that could contribute to similar 308

species richness at secondary reference sites. Besides, we assume that dispersal by moderate 309

grazing also helps to increase species richness at secondary sites. In the restoration plots 310

species introduction resulted in similar richness to reference grasslands, hay transfer resulting 311

in slightly higher values, however, not significant. The early success of grass species can be 312

contradictory in the long run decreasing the efficiency of further species establishment. Sown 313

grass species (either applied alone or in seed mixtures) can become dominant very fast on the 314

cost of sown or naturally introduced forb species and decrease overall species richness in the 315

long run in restoration sites (Török et al. 2011). The dense cover of dominant species as 316

perennial grasses entails spontaneous colonization of rare species to be very slow even in case 317

of propagule availability in the surroundings (Török et al. 2010; Vida et al. 2010). This 318

limitation for species establishment justifies further interventions including the diversification 319

of the grasslands, like the application of establishment gaps with high-diversity sowing 320

(Valkó et al. 2016). Contrary to several studies (Kiehl et al. 2006; Kiehl et al. 2010; Török et 321

al. 2011), hay transfer resulted in similar species richness to other restoration treatments, 322

which can be explained by the application of dry, stored hay with lower viable seed content.

323

For further restoration projects we suggest using seed-containing hay in combination with 324

single species or seed mixture seeding, preferably from late harvest to increase the number of 325

forbs in the vegetation (Török et al. 2012).

326

Sociability of species 327

The goal in this experiment was to introduce the natural constituents of the target community.

328

Reference sites had higher cover and species richness of natural constituent species. Both 329

types of seedings (dominant species and commercial seed mixture) introduced very few 330

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natural constituent species, but these reached a total cover similar to that of the reference 331

grasslands. At the same time, the hay transfer performed slightly higher richness in natural 332

constituents with lower total cover, which supports the idea of using this technique as a 333

complementary treatment to seeding (Török et al. 2012). Despite restoration sites being at an 334

early stage of succession (3rd year), the expected higher cover of disturbance tolerant species 335

and weeds compared to references was not confirmed. The number of weed species was 336

higher with hay transfer and commercial seed mixture than that of primary reference sites.

337

Hay transfer resulted in more open vegetation with gaps, which provide physical space for 338

germination and establishment of weedy species from the soil seed bank. This problem can be 339

detected especially in former agricultural areas, where the original seed bank was replaced by 340

weedy species in the soil seed bank (Bakker & Berendse, 1999). This is less expected in 341

industrial areas, where the seed bank is destroyed, rather than replaced by weedy species. The 342

cover of natural constituents of the restoration plots should be further increased by regular 343

mowing to decrease the total cover and richness of weeds as in other studies (Kiehl et al.

344

2010; Török et al. 2011).

345

Success of restoration 346

We found that the vegetation composition of seeded plots (dominant species and commercial 347

seed mixture) became similar to that of the reference sites based on cover data, except the 348

primary open grassland that also differed from the other reference sites. In contrast, the 349

vegetation composition of the plot with hay addition remained significantly different from all 350

other samples. These results suggest that seeding successfully accelerated succession towards 351

secondary grasslands and primary closed grasslands in three years, compared to secondary 352

reference grasslands developed in more than 30 years. Several investigations (Molnár &

353

Botta-Dukát, 1998; Csecserits & Rédei, 2001; Halassy, 2001; Ruprecht, 2006; Csecserits et 354

al. 2011; Albert et al. 2014) found that spontaneous succession at old-fields in the Pannonian 355

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region can develop to semi-natural grasslands on disturbed areas within 10-20 years, however 356

the cover of specialist species remains low (Molnár & Botta-Dukát, 1998; Prach et al. 2016), 357

and the cover of alien species is much higher than in natural grasslands (Csecserits et al.

358

2011; Csecserits et al. 2016). Mitchley, Jongepierova and Fajmon (2012) consider 10-60 359

years insufficient to restore species rich grasslands. Overall, our study supports that this time- 360

consuming succession can be accelerated by seeding.

361

We provide a summary of the advantages and disadvantages of seed introduction methods 362

based on six criteria (Table 3) to help selecting the most appropriate technique in future 363

restoration projects at unused industrial areas or vacant lots. The study demonstrated that 364

there is no single “best method” for restoration; the selection should be based on the particular 365

demand and circumstances (Shackelford et al. 2013; Adams, Hodge, Macgregor, and 366

Sandbrook, 2016). Multiple constraints exist in all restoration projects, but in case of 367

intensively modified landscapes, like urban-industrial sites, efforts needed to handle the 368

constraints can be higher (Arenas, Escudero, Mola, and Casado, 2017). This guidance helps to 369

select appropriate method in future projects, linked to the green infrastructure policy of the 370

European Union (European Commission, 2013). For example, in case of limited seed 371

availability, hay addition can be a good alternative; or if rapid green surface is a priority, 372

commercial seed mixtures are appropriate; low budget can be the reason for single species 373

seeding and still reaching similar target species cover to reference grasslands. It is important 374

however, that the aim to enhance biodiversity should not be compromised (Standish et al.

375

2013). In our case the applied restoration methods significantly contributed to increase 376

species richness, cover and similarity towards reference grasslands, but little significant 377

difference was detected among the restoration treatments.

378

Conclusions 379

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The potential of unused urban-industrial areas for enhancing biodiversity is widely ignored in 380

the world, although their restoration has advantages for conservation (Klaus, 2013; Deák et al.

381

2016; Hüse et al. 2016) and green infrastructure development (Hostetler et al. 2011; Deák et 382

al. 2016; Hüse et al. 2016). Instead of creating intensively managed, species poor green areas, 383

these non-built-up lands could be used to restore more self-sustainable, native biodiversity 384

refuges (Török et al. 2018a) that provide additional ecosystem services, like pollination 385

(Kovács-Hostyánszki et al. 2017) or amenity value (Martens, Gutscher, and Bauer, 2011). We 386

tested the role of restoration treatments in enhancing the species cover, richness, naturalness 387

in terms of sociability of species and similarity to reference grassland composition and 388

provide guidance on how to choose best method for a given situation. The success of our 389

grassland restoration project is encouraging regarding the difficulties of urban-industrial area 390

restoration, like dispersal (limitation of available propagule and dispersal agents), biotic 391

(competition) and abiotic (soil, microclimate) constraints (Klaus, 2013). In three years the 392

restored vegetation reached a state similar to that of old-fields by spontaneous succession of 393

more than 30 years. We conclude that the re-creation of native grasslands by assisted 394

introduction of species at industrial areas provides a great opportunity to enhance biodiversity 395

in a relatively short period of time and thus contribute to the development of green 396

infrastructure in Europe (Standish et al. 2013; Liquete et al. 2015).

397

Acknowledgments 398

The authors thank the LEGO group for providing the infrastructure and the Hortobágy 399

National Park Directorate for providing plant material for restoration. We thank Csaba 400

Szigetvári, who helped to find appropriate reference sites Gardening work has been carried 401

out by the Deep Forest Ltd. We thank students and Barbara Lhotsky for help in field work.

402

Author contributions 403

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ACs, AKJ, KT, MH conceived and designed the study; ACs, AKJ, MH, KT did collections 404

and other field work; AKJ, KSz, KH made statistical analyses; AKJ, MH, KH, KSz, KT, TW 405

wrote and edited the paper. All authors contributed critically to the drafts and gave final 406

approval for publication.

407

Data accessibility 408

Data are available from ZENODO: https://zenodo.org/record/1227269 (Kövendi-Jakó, 2018) 409

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600 601

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Table 1. Summary of restoration treatments applied. For details on seeding rates per species 602

see Török et al. (2018a). Quantity of grass and forb species by hay transfer are derived from 603

germination experiment (data not shown). One-third of the bales used for hay transfer or 604

mulch were sampled before distribution in 2014. Roughly cleaned samples of hay and mulch 605

were measured and germinated under controlled conditions (temperature: 16±0.3°C; dew 606

point:12±0.2g/m3; humidity: 84±0.7%) on clean construction sand in trays at the 607

experimental area of the National Botanical Garden, Vácrátót. Germinated adult species were 608

identified at species level. Germination data (number of specimen and species) from hay or 609

mulch samples were used to determine the seed content of species of hay and mulch; and to 610

estimate introduced seed quantity (kg/ha) to restoration plots (* seeds added by hay transfer or 611

mulch), by using thousand seed weight data.

612 613

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614

Restoration plot COM DOM HAY1 HAY2

area (ha) 4.5 2.6 1 1.7

Preparatory plant

Timing 2013 autumn 2014 spring 2013 autumn 2013 autumn Preparatory plant

(kg/ha)

20 20 20 20

Hay transfer

Timing 2014 summer 2014 summer

Grass (bale) 26 40

Forb (bale) 5 6

Seeding

Timing 2014 autumn 2014 autumn

Dominant grass Festuca

pseudovina

Festuca rupicola

grass (kg/ha) 30 60 1.769* 0.717*

forb (kg/ha) 15 0.093* 0.08*

Mulching

Timing 2014 autumn 2014 autumn

Mulch (bale) 42 26

grass (kg/ha) 0.022* 0.007*

forb (kg/ha) 0.005* 0.132*

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Table 2. Results of ANOSIM analyses. Composition of reference sites and restoration plots compared using ANOSIM analyses based on cover 615

data. Significant differences are given in bold. Abbreviations: primary closed reference (PCR), primary open reference (POR), secondary closed 616

reference (SCR), secondary open reference (SOR), commercial seed mixture (COM), seeds of a single dominant species (DOM), hay transfer 617

(HAY).

618

HAY COM DOM POR PCR SOR

R/p value R/p value R/p value R/p value R/p value R/p value

COM 0.31/0.021 . . . . .

DOM 0.27/0.033 0.25/0.068 . . . .

POR 0.64/0.001 0.61/0.001 0.57/0.001 . . .

PCR 0.53/0.001 0.05/0.316 0.01/0.428 0.47/0.001 . .

SOR 0.41/0.001 0.15/0.14 0.03/0.296 0.29/0.006 0.15/0.045 . SCR 0.45/0.001 0.16/0.097 0.08/0.219 0.51/0.001 0.16/0.04 0.16/0.015

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Table 3. Guidance helping to select the most appropriate restoration treatment regarding six 619

priorities (naturalness = appropriate ratio of sociability of species, total cover, species 620

richness) or constraints (treatment effort, cost effectiveness, shortage of local propagules).

621

Treatments are assessed as highly appropriate/effective (+++), moderately 622

appropriate/effective (++) or less appropriate/effective (+) concerning six selection criteria.

623

Assessment was based on results of this study (see Fig. 3 and 4) supplemented by expert 624

knowledge. (* Lower treatment effort is considered more effective; mulching after seeding 625

increases efforts in commercial seed mixture and sowing of dominant species.) 626

Treatment Naturalness Total cover

Species richness

Treatment effort*

Cost effectiveness

Shortage of local propagules Commercial

seed mixture

++ +++ ++ ++ +++ +++

Sowing of

dominant species

++ ++ + ++ + ++

Hay transfer + + +++ +++ ++ +

627

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Figures 628

Figure 1. Map of three applied plant introduction treatments at an unused urban-industrial 629

area in Nyírség, NE Hungary. Restoration treatments were the following: commercial seed 630

mixture (COM); seeds of a single dominant species (DOM), hay transfer (HAY). Species is 631

listed in Appendix S3.

632

633 634

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Figure 2. Non-Metric Multidimensional Scaling (NMDS) of the composition of three 635

restoration treatments (COM, DOM, HAY) and four reference types (PCR, POR, SCR, SOR) 636

based on cover data by using of Bray-Curtis dissimilarity. Abbreviations: primary closed 637

reference (PCR), primary open reference (POR), secondary closed reference (SCR), 638

secondary open reference (SOR), commercial seed mixture (COM), seeds of a single 639

dominant species (DOM), hay transfer (HAY).

640

641 642 643

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Figure 3. Total cover (A) and species richness (B) of restoration plots and reference sites.

644

Figures represent the distribution of total cover/species richness data based on the minimum, 645

first quartile, median, third quartile, and maximum. Total cover (i.e. sum of individual 646

species´ cover) and species richness (i.e. number of species) were calculated for each of the 647

70 sampling units. Significant differences among study sites are indicated by lower case 648

letters. Abbreviations: primary closed reference (PCR), primary open reference (POR), 649

secondary closed reference (SCR), secondary open reference (SOR), commercial seed 650

mixture (COM), seeds of a single dominant species (DOM), hay transfer (HAY).

651

(34)

652 653

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Figure 4. Total cover (A,C,E) and species richness (B,D,F) of sociability of species in 654

restoration plots and reference sites. Figures represent the distribution of total cover/species 655

richness data based on the minimum, first quartile, median, third quartile, and maximum.

656

Total cover (i.e. sum of individual species´ cover) and species richness (i.e. number of 657

species) were calculated for each of the 70 sampling units. Merged Borhidi (1995) categories:

658

1) natural constituents (NC); 2) disturbance tolerant species (DT); and 3) weeds (W).

659

Significant differences among study sites are indicated by lower case letters. Abbreviations:

660

primary closed reference (PCR), primary open reference (POR), secondary closed reference 661

(SCR), secondary open reference (SOR), commercial seed mixture (COM), seeds of a single 662

dominant species (DOM), hay transfer (HAY).

663

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664

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Supporting information 665

Additional supporting information may be found in the online version of this article:

666

Appendix S1. Map of study sites.

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Appendix S2. Basic soil properties of the restoration and reference sites.

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Appendix S3. List of plant species, their life form and sociability of species.

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Appendix S4. Results of NMDS analysis based on presence/absence data.

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Appendix S5. Results of ANOSIM analysis with species richness.

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Ábra

Table 2. Results of ANOSIM analyses. Composition of reference sites and restoration plots compared using ANOSIM analyses based on cover 615
Table 3. Guidance  helping to  select  the most  appropriate  restoration  treatment  regarding six 619
Figure  1.  Map  of  three  applied  plant  introduction  treatments  at  an  unused  urban-industrial 629
Figure  2.  Non-Metric  Multidimensional  Scaling  (NMDS)  of  the  composition  of  three 635

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